Multiple Parameter Estimation With Quantized Channel Output

被引：88

作者：

Mezghani, Amine ^{[1
]}

Antreich, Felix ^{[2
]}

Nossek, Josef A. ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Circuit Theory & Signal Proc, D-80290 Munich, Germany

[2] German Aerosp Ctr DLR, Inst Commun & Nav, D-82234 Wessling, Germany

来源：

2010 INTERNATIONAL ITG WORKSHOP ON SMART ANTENNAS (WSA 2010) | 2010年

关键词：

Quantization; MIMO channel estimation; TOA/DOA estimation; EM algorithm; Cramer-Rao Bound; stochastic resonance;

D O I：

10.1109/WSA.2010.5456454

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a general problem formulation for optimal parameter estimation based on quantized observations, with application to antenna array communication and processing (channel estimation, time-of-arrival (TOA) and direction-ofarrival (DOA) estimation). The work is of interest in the case when low resolution A/D-converters (ADCs) have to be used to enable higher sampling rate and to simplify the hardware. An Expectation-Maximization (EM) based algorithm is proposed for solving this problem in a general setting. Besides, we derive the Cramer-Rao Bound (CRB) and discuss the effects of quantization and the optimal choice of the ADC characteristic. Numerical and analytical analysis reveals that reliable estimation may still be possible even when the quantization is very coarse.

引用

页码：143 / 150

页数：8

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